Comments (3)
It may be that the readme is ahead of the released version of
DataFramesMeta. You may have to checkout the most recent commit to get this
feature. I'm not at a location I can check easily.
---------- Forwarded message ----------
From: dun10p [email protected]
Date: Tue, May 24, 2016 at 3:22 PM
Subject: [JuliaStats/DataFramesMeta.jl] @newCol in @byrow! not defined (#54)
To: "JuliaStats/DataFramesMeta.jl" [email protected]
Hi. Sorry to be a bother. I'm getting an error saying "UndefVarError
@newCol not defined", when running the block in the readme that includes
@byrow! and @newCol as displayed below.
df = DataFrame(A = 1:3, B = [2, 1, 2])
df2 = @byrow! df begin
@newCol colX::Array{Float64}
@newCol colY::DataArray{Int}
:colX = :B == 2 ? pi * :A : :B
if :A > 1
:colY = :A * :B
end
end
I'm trying to apply this to my own dataframe to bring separate time and
date columns into a single column that contains DateTime elements. I was
thinking this would work:
dateForm = Dates.DateFormat("d-u-y H")
newMachineData = @byrow! MachineData begin
@newCol DT::Array{DateTime}
:DT = DateTime(string(:DATE, " ", :HOUR), dateForm)
end
However, the error with @newCol is raised. It's likely I'm missing
something simple though. I am new to Julia
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#54
from dataframesmeta.jl.
Yes, last version was in December, and these functions are newer than that AFAIK. It's indeed always confusing that you get the development version of the README when you browser a GitHub project. In the long-term, I guess documentation should move to Documenter.jl anyway.
from dataframesmeta.jl.
Thank you guys! I apologize for the mistake.
from dataframesmeta.jl.
Related Issues (20)
- operators do not work inside function call inside macros HOT 3
- typos HOT 3
- Macro @rolling for scrolling through a column or columns of values? HOT 3
- Add a `@bycol` macro-flag HOT 5
- Add metadata for working with DataFrames HOT 1
- Access subdf in @by and @combine HOT 7
- Request - grouped by columns available as single values rather than vectors HOT 5
- Request: `@order` to mimic `DataFrames.order` in `@orderby` HOT 2
- Very slow `@astable` macro outside a function HOT 4
- `@with` macro clashes with `Base.@with` in Julia 1.11+ HOT 8
- `ByRow` not defined when importing DataFramesMeta HOT 1
- docs question HOT 7
- Request @rsubset_rtransform HOT 7
- Special-case `==` as with other one-argument functions HOT 2
- Add an alternative syntax escaping than `$` HOT 1
- MethodError occurred when broadcasting a string inside @astable HOT 3
- Speculative future of `@groupby` macro
- Allow reference to previously defined columns in @transform HOT 7
- `groupby` derived columns
- Add convenience function to look up a single value in a `DataFrame` HOT 2
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